顺序条件透显示显示罗森伯格自尊度量表的内在特征
Emanuela Furfaro1, Fushing Hsieh2
1Department of Statistics, University of Washington, Seattle, WA 98195, USA.
Entropy (Basel, Switzerland)
|September 28, 2023
概括
这项研究引入了条件来分析顺序评级数据,揭示了自尊反应中明显的不确定性模式. 这些基于的见解在不同年龄组中是一致的.
科学领域:
- 心理测量 心理测量 心理测量
- 信息理论 信息理论
- 数据分析 数据分析
背景情况:
- 顺序和分类评级数据通常使用数值数据的方法进行分析,尽管存在固有的差异.
- 现有的方法可能无法完全捕捉主观自我评价中不确定性的细微差别.
研究的目的:
- 探索条件的实用性,以量化序列自我评分响应中的不确定性.
- 使用顺序轴显示器可视化和识别响应不确定性的模式.
- 将这种方法应用于罗森伯格自尊度量数据集.
主要方法:
- 使用条件来衡量自我评价问题的答案中的不确定性.
- 开发了一种序列显示器,用于对共变量进行模式的可视化.
- 分析了在线数据集对罗森伯格自尊度量表的反应.
主要成果:
- 细度分析显示,高自尊和低自尊的受试者有明显的不确定性水平.
- 全球分析显示,积极项目的不确定性下降,自我价值更高,负面项目的不确定性增加.
- 观察到这些基于的模式在不同年龄段保持一致.
结论:
- 条件为分析顺序评级数据中的不确定性提供了一种新的方法.
- 这些发现突出了与自尊水平和问题框架相关的特定不确定性模式.
- 开发的R工具有助于在评级数据研究中应用基于的分析来发现模式.
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